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  • Prediction Machines

  • The Simple Economics of Artificial Intelligence
  • By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
  • Narrated by: LJ Ganser
  • Length: 7 hrs and 50 mins
  • Unabridged
  • Overall
    4 out of 5 stars 18
  • Performance
    4 out of 5 stars 17
  • Story
    3.5 out of 5 stars 16

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

  • 5 out of 5 stars
  • A realistic look at Machine Learning and AI

  • By Professionals Read on 17-10-18

A realistic look at Machine Learning and AI

Overall
5 out of 5 stars
Performance
5 out of 5 stars
Story
5 out of 5 stars

Reviewed: 17-10-18

I found this to be an interesting book on Machine Learning and the Narrator keeps you engaged. It described how we can benefit from AI in our current generation. It clearly distinguishes AI and AGI and gives the pros and cons of regulation over data and compares the approaches different countries are taking on training their algorithms.

This answered my questions on what makes a machine smart?, what is algorithmic bias, should we be worried about automation taking over jobs? what will give countries a lead in AI? it doesn't overhype the technology but gives good examples of how prediction machines will become part of most of the devices we interact with in our daily lives

1 of 1 people found this review helpful